Job Description: - The ideal candidate will possess a passion for machine learning and statistical methods. - - They will have strong experience building production systems. - Extensive experience using cloud services like Amazon. - Very comfortable on Linux, Ubuntu systems. - Develop high precision classifiers and tools leveraging machine learning, regression and rule-based based models - Apply expert software development skills to a wide range of ML-related projects Profile: - MS/PhD in Computer Science or related technical field or BS with 2+ years of applied machine learning experience such as neural networks, regression, classification and clustering - 2+ years with programming languages such as C/C++, Java, Perl, Scala or Python and open-source technologies (Apache, Hadoop) - Knowledge of R, Spark and related technologies - 2+ years of experience with OO design and common design pattern - 2+ years of experience with data sources and platforms (Unix/Linux, Teradata, Hadoop, Oracle, MySQL or any of the columnar DBs) - Strong background in one or more of the following areas: machine learning, natural language processing, classifiers, large-scale data mining or artificial intelligence - Strong experience deploying systems into production, at scale - Knowledge of popular ML frameworks
Job Description: Software Engineer (Tact AI) About The Opportunity We’re looking for an experienced Machine Learning/Deep Learning/NLP engineer to make an immediate impact on our Tact’s Artificial Intelligence (AI) Platform team. Tact is a well-funded, early stage startup with a world class product, team and a growing customer base. We are funded by Accel, Redpoint, Upfront & Microsoft Ventures. About Us Led by former Salesforce and Siebel executive Chuck Ganapathi, Tact is on a mission to make enterprise software more human-friendly. Tact is the world’s first mobile sales productivity suite. It combines Salesforce and everyday sales tools into one app that works offline. Tact’s device-native, conversational platform is used by Fortune 500 companies to transform the daily sales experience in the field and maximize the value of their CRM investment. What You’ll Be Doing • You will be working with Tact’s Artificial Intelligence (AI) Platform team to design & deliver world class enterprise conversational platform. • Work with small cross functional teams to deliver product features on time with high quality. • Exploration, creation and optimization of intents, utterances, entities, and other signals for optimizing interactive conversational experience. • Participate in design and code reviews. What You Should Have • 3+ years of software development experience preferably in Java. • 2+ years of experience in Machine Learning/Deep Learning/Natural Language Processing (NLP). • Familiarity with conversational flow development experience using voice and text- based NLP channels like Amazon Alexa, Slack, Cortana, etc. • BS or MS in Computer Science or related field. • Excellent oral and written communication skills and desire to work with small teams in a dynamic startup culture. • Take ownership of features and projects and be self-driven to deliver them on time.
Crediwatch is a leading fintech organization working with leading national and international financial institutions helping them in the space of analytics, credit appraisal, risk profiling, lead generation, early warning systems. We are looking to expand our data science team who will work on cutting edge platforms and help enhance Crediwatch's proprietary deep learning models across formats for text, video, images, audio. Looking for candidates who have a hands on understanding of the various industry standard ML platforms and tools to build models at scale.
Job Description Responsibilities - Develop Machine Learning Models - Develop CNN models with Tensorflow - Develop UI using latest technologies Desired Skills - We use Python, Go, Tensorflow, Docker, and PostgreSQL, but frequently change technologies and learn new skills very quickly - Experience with SQL databases is a plus - Passionate about clean, well-documented code with unit tests - Knowledge of functional programming is a plus Desired Personal Qualities - Proactive. - Future optimistic. - Positive. - Correct. - Passionate. - Insane. Contrarian. - Honest. Trustworthy.
Should be experienced in building Machine learning pipelines. Should be proficient in Python and scientific packages like pandas, numpy, scikit, matplotlib, etc. Experience with techniques such as Data mining, Distributed Computing, Applied Mathematics and Algorthims, Probablity & statistics, Strong problem solving and conceptual thinking abilities Hands on experience in Model building Building highly customized and optimized data pipelines integrating third party API’s and inhouse data sources. Extracting features from text data using tools like Scapy Deep learning for NLP using any modern framework
Niki is an artificially intelligent ordering application (niki.ai/app). Our founding team is from IIT Kharagpur, and we are looking for a Natural Language Processing Engineer to join our engineering team. The ideal candidate will have industry experience solving language-related problems using statistical methods on vast quantities of data available from Indian mobile consumers and elsewhere. Major responsibilities would be: 1. Create language models from text data. These language models draw heavily from statistical, deep learning as well as rule based research in recent times around building taggers, parsers, knowledge graph based dictionaries etc. 2. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models 3. Work closely with product teams to implement algorithms that power user and developer-facing products We work mostly in Java and Python and object oriented concepts are a must to fit in the team. Basic eligibility criteria are: 1. Graduate/Post-Graduate/M.S./Ph.D in Computer Science/Mathematics/Machine Learning/NLP or allied fields. 2. Industry experience of 2-7 years. 3. Strong background in Natural Language Processing and Machine Learning 4. Have some experience in leading a team big or small. 5. Experience with Hadoop/Hbase/Pig or MaprReduce/Sawzall/Bigtable is a plus Please share your resume to firstname.lastname@example.org
This is one of those exceptional roles where, unlike most data science roles that shape the marketing/ optimization efforts, data science here helps build a consumer-facing product from the ground up. ------Key Skills Expected--------- • Strong understanding & experience in building efficient search & recommendation algorithms; experience in Machine/ Deep Learning would be beneficial • Driving semantics through NLP of unstructured and semi-structured data • Should be able to independently build large-scale crawlers, clean & analyze that information and use as an input-feed to ranking/ recommendation algorithms • Should have excellent back-end coding skills • Strong knowledge of hosting webservices like AWS • Experience in Python-Django would be a plus We are looking for self-starters who are looking to solve genuinely hard problems.
Skills & Requirement : - Implementing cutting edge algorithms in areas of computer, image processing, image retrieval, computer vision, NLP. - Optimizing pre-existing algorithms for accuracy and speed. - Keeping a track of new research papers relevant to the problem domains. - Take part in interactive sessions discussing the team's different areas of interest. - Ability to comprehend research literature and implement them as a working program. - Hands on experience on Voice enabled technologies - Excellent and hands on experience in scientific programming language (s) (Python, Matlab, C++, Fortran, Scala, GoLang) - Good grasp of Data structures and Algorithms, Linear Algebra, Differential Calculus, Optimization and Numerical Analysis. - C++, Artificial Intelligence, RESTful Services, Matlab, Java J2EE, REST, AWS/EC2/ELB/S3/DynamoDB, Machine Learning, Data Science, Python, Perl, R, Hadoop/Hive/Spark/Scala/MLlib, NLP Compensation : Will be discussed + Equity Experience : 2 Years+ Location : Sony World Signal, Koramangala 4th Block, Bangalore